Communication Network Feature Optimization for VoLTE
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Solution Overview
Problem
Communication networks face challenges in optimizing features before implementing new services like VoLTE, as existing methods cannot effectively predict and address issues such as latency, dropped calls, and packet loss, which significantly impact customer experience.
Innovation Solution
A method that involves assigning network nodes to clusters, determining key performance indicators (KPIs) for existing traffic patterns, and optimizing network features such as RF shaping, handover parameters, and link level parameters to ensure optimal performance before launching VoLTE services, using existing traffic as a proxy to model and analyze potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network monitoring and analytics are performed on existing services, then current service quality can be maintained, but the ability to predict and optimize issues for future services is lost
Solution Approach 1:
The patent applies preliminary action by analyzing traffic patterns from existing services (first communication service) to predict and identify potential performance issues before implementing future services (second communication service). The system performs network analytics on current traffic data to detect anomalies and optimize network features in advance, enabling proactive problem prevention rather than reactive troubleshooting after service deployment.
2Reliability
If more cells/antennas are installed or transmission power is increased to ensure high quality of service, then service quality improves, but network complexity and cost increase
Solution Approach 1:
The patent applies parameter changes by optimizing existing network features and parameters (such as handover parameters, RF shaping, link level parameters) based on traffic pattern analysis rather than physically adding more cells or increasing transmission power. The system identifies suboptimal parameter configurations through analytics and adjusts them to improve service quality, avoiding the need for expensive network expansion or power increases.
3Ease of manufacture
If network features are optimized after service implementation, then issues can be addressed, but customer experience and service performance are already degraded
Solution Approach 1:
The system performs network analytics and optimization actions in advance before deploying new services. By analyzing traffic patterns from existing services and predicting potential issues, the system proactively optimizes network features beforehand, ensuring high customer experience from the moment new services are launched rather than waiting for problems to manifest after deployment.
4Reliability
If voice data is prioritized to reduce latency and dropped calls, then voice service quality improves, but data service performance may be impacted
Solution Approach 1:
The patent applies local quality by analyzing traffic patterns to identify specific network conditions and locations where voice service optimization is needed, rather than applying blanket prioritization across the entire network. The system optimizes parameters locally based on detected traffic patterns and service requirements, allowing voice prioritization in specific areas while maintaining data service performance in other regions.
Data Source
AI summary
A method, device and system for method of optimizing a feature of a communication network prior to implementing a future service is provided. A plurality of network nodes in the communication network is assigned to a network cluster. At least one value for a respective key performance indicator (KPI) for data exchanged between the network nodes in the network cluster is determined, where the data is associated with a first communication service. And a need for an optimization of a feature of the communication network in response to the value for the KPI being outside of a range, prior to implementation of a second communication service is determined.